Add figures for when using the PI amplifier
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figs/apa95ml_5kg_PI_coh.pdf
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figs/apa95ml_5kg_PI_pdf_comp_huddle.pdf
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figs/apa95ml_5kg_PI_tf.pdf
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figs/apa95ml_5kg_pi_comp_fem.pdf
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index.html
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index.html
@ -3,7 +3,7 @@
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"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
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<html xmlns="http://www.w3.org/1999/xhtml" lang="en" xml:lang="en">
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<head>
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<!-- 2020-07-20 lun. 13:29 -->
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<!-- 2020-07-23 jeu. 09:33 -->
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<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
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<title>Test Bench APA95ML</title>
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<meta name="generator" content="Org mode" />
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@ -35,30 +35,37 @@
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<h2>Table of Contents</h2>
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<div id="text-table-of-contents">
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<ul>
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<li><a href="#orge11c5dc">1. Setup</a>
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<li><a href="#org6d01a62">1. Setup</a>
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<ul>
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<li><a href="#org6653e08">1.1. Parameters</a></li>
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<li><a href="#orge01c6e9">1.2. Filter White Noise</a></li>
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<li><a href="#org7f6c52e">1.1. Parameters</a></li>
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<li><a href="#orgf78bcf3">1.2. Filter White Noise</a></li>
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</ul>
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</li>
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<li><a href="#org26dcd8d">2. Run Experiment and Save Data</a>
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<li><a href="#org3920c8f">2. Run Experiment and Save Data</a>
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<ul>
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<li><a href="#orgc671538">2.1. Load Data</a></li>
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<li><a href="#orge426d6c">2.2. Save Data</a></li>
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<li><a href="#org48afa54">2.1. Load Data</a></li>
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<li><a href="#org6dd5e8b">2.2. Save Data</a></li>
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</ul>
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</li>
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<li><a href="#org29fccbc">3. Huddle Test</a>
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<li><a href="#orgb856102">3. Huddle Test</a>
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<ul>
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<li><a href="#org1a509f0">3.1. Time Domain Data</a></li>
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<li><a href="#org99da013">3.2. PSD of Measurement Noise</a></li>
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<li><a href="#orgbdccf6c">3.1. Time Domain Data</a></li>
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<li><a href="#org555147e">3.2. PSD of Measurement Noise</a></li>
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</ul>
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</li>
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<li><a href="#orgfa5e8ee">4. Transfer Function Estimation with \(m=5kg\)</a>
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<li><a href="#orgb67c277">4. Transfer Function Estimation with \(m=5kg\)</a>
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<ul>
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<li><a href="#orgf861073">4.1. Time Domain Data</a></li>
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<li><a href="#org65d8a9f">4.2. Comparison of the PSD with Huddle Test</a></li>
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<li><a href="#orgc82a6e8">4.3. Compute TF estimate and Coherence</a></li>
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<li><a href="#org4b0a791">4.4. Comparison with the FEM model</a></li>
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<li><a href="#org3f71fa1">4.1. Time Domain Data</a></li>
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<li><a href="#org8e6db12">4.2. Comparison of the PSD with Huddle Test</a></li>
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<li><a href="#org4ac16d4">4.3. Compute TF estimate and Coherence</a></li>
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<li><a href="#org6938b52">4.4. Comparison with the FEM model</a></li>
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</ul>
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</li>
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<li><a href="#org98add36">5. PI Amplifier</a>
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<ul>
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<li><a href="#org68ab283">5.1. Comparison of the PSD with Huddle Test</a></li>
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<li><a href="#orga8db91a">5.2. Compute TF estimate and Coherence</a></li>
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<li><a href="#org7272539">5.3. Comparison with the FEM model</a></li>
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</ul>
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</li>
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</ul>
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@ -66,26 +73,26 @@
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</div>
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<div id="org63ea785" class="figure">
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<div id="orgfe6ddf9" class="figure">
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<p><img src="figs/setup_picture.png" alt="setup_picture.png" />
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</p>
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<p><span class="figure-number">Figure 1: </span>Picture of the Setup</p>
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</div>
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<div id="org285264c" class="figure">
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<div id="orgde5ae22" class="figure">
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<p><img src="figs/setup_zoom.png" alt="setup_zoom.png" />
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</p>
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<p><span class="figure-number">Figure 2: </span>Zoom on the APA</p>
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</div>
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<div id="outline-container-orge11c5dc" class="outline-2">
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<h2 id="orge11c5dc"><span class="section-number-2">1</span> Setup</h2>
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<div id="outline-container-org6d01a62" class="outline-2">
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<h2 id="org6d01a62"><span class="section-number-2">1</span> Setup</h2>
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<div class="outline-text-2" id="text-1">
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</div>
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<div id="outline-container-org6653e08" class="outline-3">
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<h3 id="org6653e08"><span class="section-number-3">1.1</span> Parameters</h3>
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<div id="outline-container-org7f6c52e" class="outline-3">
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<h3 id="org7f6c52e"><span class="section-number-3">1.1</span> Parameters</h3>
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<div class="outline-text-3" id="text-1-1">
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<div class="org-src-container">
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<pre class="src src-matlab">Ts = 1e-4;
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@ -94,8 +101,8 @@
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</div>
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</div>
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<div id="outline-container-orge01c6e9" class="outline-3">
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<h3 id="orge01c6e9"><span class="section-number-3">1.2</span> Filter White Noise</h3>
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<div id="outline-container-orgf78bcf3" class="outline-3">
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<h3 id="orgf78bcf3"><span class="section-number-3">1.2</span> Filter White Noise</h3>
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<div class="outline-text-3" id="text-1-2">
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<div class="org-src-container">
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<pre class="src src-matlab">Glpf = 1/(1 + s/2/pi/500);
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@ -107,13 +114,13 @@ Gz = c2d(Glpf, Ts, 'tustin');
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</div>
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</div>
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<div id="outline-container-org26dcd8d" class="outline-2">
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<h2 id="org26dcd8d"><span class="section-number-2">2</span> Run Experiment and Save Data</h2>
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<div id="outline-container-org3920c8f" class="outline-2">
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<h2 id="org3920c8f"><span class="section-number-2">2</span> Run Experiment and Save Data</h2>
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<div class="outline-text-2" id="text-2">
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</div>
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<div id="outline-container-orgc671538" class="outline-3">
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<h3 id="orgc671538"><span class="section-number-3">2.1</span> Load Data</h3>
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<div id="outline-container-org48afa54" class="outline-3">
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<h3 id="org48afa54"><span class="section-number-3">2.1</span> Load Data</h3>
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<div class="outline-text-3" id="text-2-1">
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<div class="org-src-container">
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<pre class="src src-matlab">data = SimulinkRealTime.utils.getFileScopeData('data/apa95ml.dat').data;
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@ -122,8 +129,8 @@ Gz = c2d(Glpf, Ts, 'tustin');
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</div>
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</div>
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<div id="outline-container-orge426d6c" class="outline-3">
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<h3 id="orge426d6c"><span class="section-number-3">2.2</span> Save Data</h3>
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<div id="outline-container-org6dd5e8b" class="outline-3">
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<h3 id="org6dd5e8b"><span class="section-number-3">2.2</span> Save Data</h3>
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<div class="outline-text-3" id="text-2-2">
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<div class="org-src-container">
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<pre class="src src-matlab">u = data(:, 1); % Input Voltage [V]
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@ -140,16 +147,16 @@ t = data(:, 3); % Time [s]
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</div>
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</div>
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<div id="outline-container-org29fccbc" class="outline-2">
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<h2 id="org29fccbc"><span class="section-number-2">3</span> Huddle Test</h2>
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<div id="outline-container-orgb856102" class="outline-2">
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<h2 id="orgb856102"><span class="section-number-2">3</span> Huddle Test</h2>
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<div class="outline-text-2" id="text-3">
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</div>
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<div id="outline-container-org1a509f0" class="outline-3">
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<h3 id="org1a509f0"><span class="section-number-3">3.1</span> Time Domain Data</h3>
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<div id="outline-container-orgbdccf6c" class="outline-3">
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<h3 id="orgbdccf6c"><span class="section-number-3">3.1</span> Time Domain Data</h3>
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<div class="outline-text-3" id="text-3-1">
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<div id="orgf1f51e5" class="figure">
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<div id="orgfef1212" class="figure">
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<p><img src="figs/huddle_test_time_domain.png" alt="huddle_test_time_domain.png" />
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</p>
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<p><span class="figure-number">Figure 3: </span>Measurement of the Mass displacement during Huddle Test</p>
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@ -157,8 +164,8 @@ t = data(:, 3); % Time [s]
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</div>
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</div>
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<div id="outline-container-org99da013" class="outline-3">
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<h3 id="org99da013"><span class="section-number-3">3.2</span> PSD of Measurement Noise</h3>
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<div id="outline-container-org555147e" class="outline-3">
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<h3 id="org555147e"><span class="section-number-3">3.2</span> PSD of Measurement Noise</h3>
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<div class="outline-text-3" id="text-3-2">
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<div class="org-src-container">
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<pre class="src src-matlab">Ts = t(end)/(length(t)-1);
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@ -174,7 +181,7 @@ win = hanning(ceil(1*Fs));
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</div>
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<div id="orgc5a6acc" class="figure">
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<div id="orgd17271b" class="figure">
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<p><img src="figs/huddle_test_pdf.png" alt="huddle_test_pdf.png" />
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</p>
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<p><span class="figure-number">Figure 4: </span>Amplitude Spectral Density of the Displacement during Huddle Test</p>
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@ -183,16 +190,16 @@ win = hanning(ceil(1*Fs));
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</div>
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</div>
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<div id="outline-container-orgfa5e8ee" class="outline-2">
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<h2 id="orgfa5e8ee"><span class="section-number-2">4</span> Transfer Function Estimation with \(m=5kg\)</h2>
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<div id="outline-container-orgb67c277" class="outline-2">
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<h2 id="orgb67c277"><span class="section-number-2">4</span> Transfer Function Estimation with \(m=5kg\)</h2>
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<div class="outline-text-2" id="text-4">
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</div>
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<div id="outline-container-orgf861073" class="outline-3">
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<h3 id="orgf861073"><span class="section-number-3">4.1</span> Time Domain Data</h3>
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<div id="outline-container-org3f71fa1" class="outline-3">
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<h3 id="org3f71fa1"><span class="section-number-3">4.1</span> Time Domain Data</h3>
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<div class="outline-text-3" id="text-4-1">
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<div id="orga6ff075" class="figure">
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<div id="orga603410" class="figure">
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<p><img src="figs/apa95ml_5kg_10V_time_domain.png" alt="apa95ml_5kg_10V_time_domain.png" />
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</p>
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<p><span class="figure-number">Figure 5: </span>Time domain signals during the test</p>
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@ -200,8 +207,8 @@ win = hanning(ceil(1*Fs));
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</div>
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</div>
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<div id="outline-container-org65d8a9f" class="outline-3">
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<h3 id="org65d8a9f"><span class="section-number-3">4.2</span> Comparison of the PSD with Huddle Test</h3>
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<div id="outline-container-org8e6db12" class="outline-3">
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<h3 id="org8e6db12"><span class="section-number-3">4.2</span> Comparison of the PSD with Huddle Test</h3>
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<div class="outline-text-3" id="text-4-2">
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<div class="org-src-container">
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<pre class="src src-matlab">Ts = t(end)/(length(t)-1);
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@ -218,7 +225,7 @@ win = hanning(ceil(1*Fs));
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</div>
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<div id="org63805be" class="figure">
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<div id="orgf16dfcd" class="figure">
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<p><img src="figs/apa95ml_5kg_10V_pdf_comp_huddle.png" alt="apa95ml_5kg_10V_pdf_comp_huddle.png" />
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</p>
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<p><span class="figure-number">Figure 6: </span>Comparison of the ASD for the identification test and the huddle test</p>
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@ -226,9 +233,15 @@ win = hanning(ceil(1*Fs));
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</div>
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</div>
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<div id="outline-container-orgc82a6e8" class="outline-3">
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<h3 id="orgc82a6e8"><span class="section-number-3">4.3</span> Compute TF estimate and Coherence</h3>
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<div id="outline-container-org4ac16d4" class="outline-3">
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<h3 id="org4ac16d4"><span class="section-number-3">4.3</span> Compute TF estimate and Coherence</h3>
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<div class="outline-text-3" id="text-4-3">
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<div class="org-src-container">
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<pre class="src src-matlab">Ts = t(end)/(length(t)-1);
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Fs = 1/Ts;
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</pre>
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</div>
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<div class="org-src-container">
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<pre class="src src-matlab">win = hann(ceil(1/Ts));
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@ -238,14 +251,14 @@ win = hanning(ceil(1*Fs));
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</div>
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<div id="orgf57d3dd" class="figure">
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<div id="org93041d8" class="figure">
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<p><img src="figs/apa95ml_5kg_10V_coh.png" alt="apa95ml_5kg_10V_coh.png" />
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</p>
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<p><span class="figure-number">Figure 7: </span>Coherence</p>
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</div>
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<div id="org3409282" class="figure">
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<div id="orgf2a7b3e" class="figure">
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<p><img src="figs/apa95ml_5kg_10V_tf.png" alt="apa95ml_5kg_10V_tf.png" />
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</p>
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<p><span class="figure-number">Figure 8: </span>Estimation of the transfer function from input voltage to displacement</p>
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@ -253,8 +266,8 @@ win = hanning(ceil(1*Fs));
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</div>
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</div>
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<div id="outline-container-org4b0a791" class="outline-3">
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<h3 id="org4b0a791"><span class="section-number-3">4.4</span> Comparison with the FEM model</h3>
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<div id="outline-container-org6938b52" class="outline-3">
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<h3 id="org6938b52"><span class="section-number-3">4.4</span> Comparison with the FEM model</h3>
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<div class="outline-text-3" id="text-4-4">
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<div class="org-src-container">
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<pre class="src src-matlab">load('mat/fem_model_5kg.mat', 'Ghm');
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@ -262,7 +275,7 @@ win = hanning(ceil(1*Fs));
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</div>
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<div id="org7509557" class="figure">
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<div id="orgfcc57fa" class="figure">
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<p><img src="figs/apa95ml_5kg_comp_fem.png" alt="apa95ml_5kg_comp_fem.png" />
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</p>
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<p><span class="figure-number">Figure 9: </span>Comparison of the identified transfer function and the one estimated from the FE model</p>
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@ -270,10 +283,91 @@ win = hanning(ceil(1*Fs));
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</div>
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</div>
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</div>
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<div id="outline-container-org98add36" class="outline-2">
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<h2 id="org98add36"><span class="section-number-2">5</span> PI Amplifier</h2>
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<div class="outline-text-2" id="text-5">
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</div>
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<div id="outline-container-org68ab283" class="outline-3">
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<h3 id="org68ab283"><span class="section-number-3">5.1</span> Comparison of the PSD with Huddle Test</h3>
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<div class="outline-text-3" id="text-5-1">
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<div class="org-src-container">
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<pre class="src src-matlab">Ts = t(end)/(length(t)-1);
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Fs = 1/Ts;
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win = hanning(ceil(1*Fs));
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</pre>
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</div>
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<div class="org-src-container">
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<pre class="src src-matlab">[pxx, f] = pwelch(y, win, [], [], Fs);
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[pht, ~] = pwelch(ht.y, win, [], [], Fs);
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</pre>
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</div>
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<div id="org5dff36b" class="figure">
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<p><img src="figs/apa95ml_5kg_PI_pdf_comp_huddle.png" alt="apa95ml_5kg_PI_pdf_comp_huddle.png" />
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</p>
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<p><span class="figure-number">Figure 10: </span>Comparison of the ASD for the identification test and the huddle test</p>
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</div>
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</div>
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</div>
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<div id="outline-container-orga8db91a" class="outline-3">
|
||||
<h3 id="orga8db91a"><span class="section-number-3">5.2</span> Compute TF estimate and Coherence</h3>
|
||||
<div class="outline-text-3" id="text-5-2">
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">Ts = t(end)/(length(t)-1);
|
||||
Fs = 1/Ts;
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">win = hann(ceil(10/Ts));
|
||||
|
||||
[tf_est, f] = tfestimate(u, -y, win, [], [], 1/Ts);
|
||||
[co_est, ~] = mscohere( u, -y, win, [], [], 1/Ts);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="org6e49e56" class="figure">
|
||||
<p><img src="figs/apa95ml_5kg_PI_coh.png" alt="apa95ml_5kg_PI_coh.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 11: </span>Coherence</p>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="org34f3b6c" class="figure">
|
||||
<p><img src="figs/apa95ml_5kg_PI_tf.png" alt="apa95ml_5kg_PI_tf.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 12: </span>Estimation of the transfer function from input voltage to displacement</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org7272539" class="outline-3">
|
||||
<h3 id="org7272539"><span class="section-number-3">5.3</span> Comparison with the FEM model</h3>
|
||||
<div class="outline-text-3" id="text-5-3">
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">load('mat/fem_model_5kg.mat', 'Ghm');
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="orga88c7dc" class="figure">
|
||||
<p><img src="figs/apa95ml_5kg_pi_comp_fem.png" alt="apa95ml_5kg_pi_comp_fem.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 13: </span>Comparison of the identified transfer function and the one estimated from the FE model</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="postamble" class="status">
|
||||
<p class="author">Author: Dehaeze Thomas</p>
|
||||
<p class="date">Created: 2020-07-20 lun. 13:29</p>
|
||||
<p class="date">Created: 2020-07-23 jeu. 09:33</p>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
|
||||
162
index.org
162
index.org
@ -235,6 +235,11 @@
|
||||
[[file:figs/apa95ml_5kg_10V_pdf_comp_huddle.png]]
|
||||
|
||||
** Compute TF estimate and Coherence
|
||||
#+begin_src matlab
|
||||
Ts = t(end)/(length(t)-1);
|
||||
Fs = 1/Ts;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
win = hann(ceil(1/Ts));
|
||||
|
||||
@ -327,3 +332,160 @@
|
||||
#+caption: Comparison of the identified transfer function and the one estimated from the FE model
|
||||
#+RESULTS:
|
||||
[[file:figs/apa95ml_5kg_comp_fem.png]]
|
||||
|
||||
** Conclusion :ignore:
|
||||
#+begin_important
|
||||
The problem comes from the fact that the piezo is driven directly by the DAC that cannot deliver enought current.
|
||||
In the next section, a current amplifier is used.
|
||||
#+end_important
|
||||
|
||||
* PI Amplifier
|
||||
** Matlab Init :noexport:ignore:
|
||||
#+begin_src matlab :tangle no :exports none :results silent :noweb yes :var current_dir=(file-name-directory buffer-file-name)
|
||||
<<matlab-dir>>
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none :results silent :noweb yes
|
||||
<<matlab-init>>
|
||||
#+end_src
|
||||
|
||||
** Load Data :noexport:
|
||||
#+begin_src matlab
|
||||
ht = load('./mat/huddle_test.mat', 't', 'u', 'y');
|
||||
load('./mat/apa95ml_5kg_Amp_E505.mat', 't', 'u', 'y');
|
||||
#+end_src
|
||||
|
||||
** Comparison of the PSD with Huddle Test
|
||||
#+begin_src matlab
|
||||
Ts = t(end)/(length(t)-1);
|
||||
Fs = 1/Ts;
|
||||
|
||||
win = hanning(ceil(1*Fs));
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
[pxx, f] = pwelch(y, win, [], [], Fs);
|
||||
[pht, ~] = pwelch(ht.y, win, [], [], Fs);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, sqrt(pxx), 'DisplayName', '5kg');
|
||||
plot(f, sqrt(pht), 'DisplayName', 'Huddle Test');
|
||||
hold off;
|
||||
set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
|
||||
xlabel('Frequency [Hz]'); ylabel('ASD [$m/\sqrt{Hz}$]');
|
||||
legend('location', 'northeast');
|
||||
xlim([1, Fs/2]);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/apa95ml_5kg_PI_pdf_comp_huddle.pdf', 'width', 'wide', 'height', 'tall');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:apa95ml_5kg_PI_pdf_comp_huddle
|
||||
#+caption: Comparison of the ASD for the identification test and the huddle test
|
||||
#+RESULTS:
|
||||
[[file:figs/apa95ml_5kg_PI_pdf_comp_huddle.png]]
|
||||
|
||||
** Compute TF estimate and Coherence
|
||||
#+begin_src matlab
|
||||
Ts = t(end)/(length(t)-1);
|
||||
Fs = 1/Ts;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
win = hann(ceil(10/Ts));
|
||||
|
||||
[tf_est, f] = tfestimate(u, -y, win, [], [], 1/Ts);
|
||||
[co_est, ~] = mscohere( u, -y, win, [], [], 1/Ts);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
|
||||
hold on;
|
||||
plot(f, co_est, 'k-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Coherence'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
xlim([10, 5e3]);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/apa95ml_5kg_PI_coh.pdf', 'width', 'wide', 'height', 'normal');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:apa95ml_5kg_PI_coh
|
||||
#+caption: Coherence
|
||||
#+RESULTS:
|
||||
[[file:figs/apa95ml_5kg_PI_coh.png]]
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
ax1 = subplot(2, 1, 1);
|
||||
hold on;
|
||||
plot(f, abs(tf_est), 'k-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'log');
|
||||
ylabel('Amplitude'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
|
||||
ax2 = subplot(2, 1, 2);
|
||||
hold on;
|
||||
plot(f, 180/pi*angle(tf_est), 'k-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Phase'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
|
||||
linkaxes([ax1,ax2], 'x');
|
||||
xlim([10, 5e3]);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/apa95ml_5kg_PI_tf.pdf', 'width', 'full', 'height', 'full');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:apa95ml_5kg_PI_tf
|
||||
#+caption: Estimation of the transfer function from input voltage to displacement
|
||||
#+RESULTS:
|
||||
[[file:figs/apa95ml_5kg_PI_tf.png]]
|
||||
|
||||
** Comparison with the FEM model
|
||||
#+begin_src matlab
|
||||
load('mat/fem_model_5kg.mat', 'Ghm');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
freqs = logspace(0, 4, 1000);
|
||||
figure;
|
||||
ax1 = subplot(2, 1, 1);
|
||||
hold on;
|
||||
plot(f, 1/10*170/1400*abs(tf_est), 'DisplayName', 'Identification')
|
||||
plot(freqs, abs(squeeze(freqresp(Ghm, freqs, 'Hz'))), 'DisplayName', 'FEM')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'log');
|
||||
ylabel('Amplitude'); xlabel('Frequency [Hz]');
|
||||
legend('location', 'northeast')
|
||||
hold off;
|
||||
|
||||
ax2 = subplot(2, 1, 2);
|
||||
hold on;
|
||||
plot(f, 180/pi*angle(tf_est))
|
||||
plot(freqs, 180/pi*angle(squeeze(freqresp(Ghm, freqs, 'Hz'))))
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Phase'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
ylim([-180, 180]);
|
||||
|
||||
linkaxes([ax1,ax2], 'x');
|
||||
xlim([10, 5e3]);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/apa95ml_5kg_pi_comp_fem.pdf', 'width', 'full', 'height', 'full');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:apa95ml_5kg_pi_comp_fem
|
||||
#+caption: Comparison of the identified transfer function and the one estimated from the FE model
|
||||
#+RESULTS:
|
||||
[[file:figs/apa95ml_5kg_pi_comp_fem.png]]
|
||||
|
||||
Binary file not shown.
Loading…
Reference in New Issue
Block a user